NLP (Natural Language Processing) Engineer
Bringle Excellence Open · verified Oct 22, 2026 At a glance
Mid-level Machine Learning Engineering role at Bringle Excellence. Thane · full-time.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Help architect, build and extend AI technology for the next-generation platform
- Develop NLP capabilities such as entity recognition, text classification, embeddings and language generation
- Work on ontology development, including enriching ontologies and populating them automatically
- Adapt open-source AI algorithms and apply the linguistic concepts behind NLP
What you bring
- Two to four years of relevant experience and a bachelor's or master's degree
- Knowledge of NLP areas such as parsing, anaphora resolution or discourse analysis
- Experience with Java, Python or another listed language, plus machine-learning platforms such as Spark MLlib or TensorFlow
- Understanding of linguistics and NLP algorithms, with the ability to tailor open-source AI methods
Who this fits
This mid-level role suits a self-directed engineer who enjoys building from scratch and learning new technology. The position is onsite in Thane.
From the employer
Bringle Academy is extremely Happy and Proud to be among the Trusted Brands of Thane as per the article published by Times of India (TOI) dated 28th Aug 2016.
An Academy that teaches it all.
What we want you to do…
You’ll be a critical member of an engineering team working on architecting, developing and augmenting cutting edge AI technology, which is a crucial part of our next generation AI based platform.
Who you are…
You are a self-motivated, dynamic professional who loves to build things from scratch. Platform. Tools, languages do not matter you.
You also meet most (if not all) of the following requirements:
2-4 years of relevant work experience
Bachelors/Master’s degree
Familiar with Java / J2EE, Python, scala, Haskell, prolog
Familiarity with
1.Ontology development, enrichment, auto-population
2. Natural language understanding : Anaphora resolution, Discourse structure analysis ,Ellipsis, Parsing: syntactic, semantic
3. Natural Language Processing : Named entity recognition, Text classification, word embedding
4. Natural Language generation
Machine Learning platforms like Apache Spark MLlib, Stanford NLP, Moses, Joshua, Tensor Flow , DeepLearning4j .
Ability to customize open source AI algorithms.
Understands Linguistics and the underlying algorithms behind NLP
Familiarity with AWS, Linux, Unix
Familiarity with Git , SVN , Jira
Familiarity with Agile Tools and Methodologies
Good verbal and written communication skills.
Ability to learn technology quickly through instruction and self-training.
You are Self Motivated to get things done and a Self-starter
All your information will be kept confidential according to EEO guidelines.